Siloxene/PVDF Composite Nanofibrous Membrane for High-Performance Triboelectric Nanogenerator and Self-Powered Static and Dynamic Pressure Sensing Applications

被引:117
作者
Bhatta, Trilochan [1 ]
Sharma, Sudeep [1 ]
Shrestha, Kumar [1 ]
Shin, Youngdo [1 ]
Seonu, Sookyeong [1 ]
Lee, Sanghyun [1 ]
Kim, Dongkyun [1 ]
Sharifuzzaman, Md [1 ]
Rana, S. M. Sohel [1 ]
Park, Jae Yeong [1 ]
机构
[1] Kwangwoon Univ, Dept Elect Engn, Seoul 01897, South Korea
基金
新加坡国家研究基金会;
关键词
composite nanofibrous membranes; dynamic sensing; self-powered pressure sensors; static sensing; triboelectric nanogenerators; user authentication; ENERGY HARVESTER; SENSOR; PVDF;
D O I
10.1002/adfm.202202145
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Polymer nanofibers are widely adopted in energy harvesting and pressure sensing applications owing to the large contact area and inherent compressibility. Herein, a high-performance triboelectric nanogenerator (TENG) based on 2D siloxene-polyvinylidene fluoride (S-PVDF) composite nanofibrous membrane is newly evaluated. Through proper ratio optimization and facile electrospinning, the fabricated membrane shows significant improvement in dielectric property, electronegativity, and compressibility. The TENG comprising S-PVDF membrane and Nylon 6/6 can deliver an excellent power density of 13.25 W m(-2) (f approximate to 5 Hz) and easily operates low-power electronics and Internet of things (IoTs). In addition, the excellent compressibility of membrane extends its applicability to self-powered simultaneous detection of dynamic and static pressure, which is investigated by developing a hybrid pressure sensor (HPS) through effective integration of TENG and a capacitive pressure sensor. The HPS shows an excellent dynamic (12.062 V kPa(-1) at (<3 kPa) and 2.58 V kPa(-1) at (3-25 kPa)) and static (25.07 mV kPa(-1) at (<3 kPa) and 5.96 mV kPa(-1) at (3-25 kPa)) pressure sensitivities, respectively. Furthermore, a 2 x 2 HPS array tested and analyzed for multiple users using artificial intelligence significantly improves the accuracy (98%). Remarkable energy harvesting performance and greater accuracy of the HPS manifests better preferences for future self-powered IoT and smart tactile-based user authentication systems.
引用
收藏
页数:15
相关论文
共 61 条
[1]   High-performance triboelectric nanogenerator based on MXene functionalized polyvinylidene fluoride composite nanofibers [J].
Bhatta, Trilochan ;
Maharjan, Pukar ;
Cho, Hyunok ;
Park, Chani ;
Yoon, Sang Hyuk ;
Sharma, Sudeep ;
Salauddin, M. ;
Rahman, M. Toyabur ;
Rana, S. M. Sohel ;
Park, Jae Yeong .
NANO ENERGY, 2021, 81
[2]   A Battery-Less Arbitrary Motion Sensing System Using Magnetic Repulsion-Based Self-Powered Motion Sensors and Hybrid Nanogenerator [J].
Bhatta, Trilochan ;
Maharjan, Pukar ;
Salauddin, Md. ;
Rahman, M. Toyabur ;
Rana, S. M. Sohel ;
Park, Jae Yeong .
ADVANCED FUNCTIONAL MATERIALS, 2020, 30 (36)
[3]   User authentication using keystroke dynamics for cellular phones [J].
Campisi, P. ;
Maiorana, E. ;
Lo Bosco, M. ;
Neri, A. .
IET SIGNAL PROCESSING, 2009, 3 (04) :333-341
[4]   Polymer Materials for High-Performance Triboelectric Nanogenerators [J].
Chen, Aihua ;
Zhang, Chen ;
Zhu, Guang ;
Wang, Zhong Lin .
ADVANCED SCIENCE, 2020, 7 (14)
[5]   Keystroke Dynamics-Based Authentication Using Unique Keypad [J].
Choi, Maro ;
Lee, Shincheol ;
Jo, Minjae ;
Shin, Ji Sun .
SENSORS, 2021, 21 (06)
[6]   Design and evaluation of a pressure-based typing biometric authentication system [J].
Eltahir W.E. ;
Salami M.J.E. ;
Ismail A.F. ;
Lai W.K. .
EURASIP Journal on Information Security, 2008 (1)
[7]   Self-powered pressure sensor based on the triboelectric effect and its analysis using dynamic mechanical analysis [J].
Garcia, Cristobal ;
Trendafilova, Irina ;
Guzman de Villoria, Roberto ;
Sanchez del Rio, Jose .
NANO ENERGY, 2018, 50 :401-409
[8]  
Goswami S., 2017, ADV IND ENG MANAGEME, V6, P48
[9]   Dielectric Hole Collector toward Boosting Charge Transfer of CsPbBr3 Hybrid Nanogenerator by Coupling Triboelectric and Photovoltaic Effects [J].
Guo, Qiyao ;
Yang, Xiya ;
Wang, Yudi ;
Xu, Wenkai ;
Duan, Jialong ;
Tang, Qunwei .
ADVANCED FUNCTIONAL MATERIALS, 2021, 31 (32)
[10]   Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review [J].
Hernandez-alvarez, Luis ;
Maria de Fuentes, Jose ;
Gonzalez-Manzano, Lorena ;
Hernandez Encinas, Luis .
SENSORS, 2021, 21 (01) :1-23